Rudi Limantara
Rudi holds a Bachelor’s degree in Informatics from Sekolah Tinggi Teknik Surabaya and a Master’s degree in Computer Science from Institut Sains dan Teknologi Terpadu Surabaya, graduating Summa Cumlaude. He specializes in Computer Vision, Digital Image Processing, Artificial Intelligence, and Deep Learning. Currently, Rudi is actively involved in medical research using Deep Learning technologies, collaborating with hospitals across Indonesia. As an educator, he teaches various courses including Programming Algorithms, Databases, Object-Oriented Programming, Computer Vision, Digital Image Processing, Computer Graphics, Artificial Intelligence, Deep Learning, and Machine Learning. Rudi is a member of the International Association of Engineers (IAENG), reinforcing his commitment to academic excellence and professional development in the technology field.
Author Pages
International Journal indexed by Scopus/WoS
- Optimizing spinal cord lesion segmentation using hierarchical classification and U-NET based segmentation model. Array (2025)
- A deep learning approach for cervical cord injury severitydetermination through axial and sagittal magnetic resonance imagingsegmentation and classification (PDF) A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification. Available from: https://www.researchgate.net/publication/383526135_A_deep_learning_approach_for_cervical_cord_injury_severity_determination_through_axial_and_sagittal_magnetic. European Spine Journal (2024)
- SpinalAI: A Deep Learning Approach to Predict Vertebrae-Column Level, Structure, and Foraminal on Cervical Spine Axial MRI Images. ICiCos (2024)
National Journal indexed by Sinta
- Intelligent Segmentation of Road Surface Damage Using Deep Learning Approaches. Insyst : Journal of Intelligent System and Computation (2026)
- Ontix: Blockchain-Based NFT Decentralized e-Ticketing Development. Journal of Information and Communication Technology (Teknika) (2026)
- A Hierarchical Multi-Label Classification Approach for the Automated Interpretation of Spinal MRI Series. Insyst : Journal of Intelligent System and Computation (2025)
International Proceeding indexed by Scopus/WoS, IEEE Explore
- Benchmarking Time Series Forecasting Models on Seasonal and Non-Seasonal Data: A Case Study of PM10 Air Pollution and IDX Composite. International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS) (2026)
- Hybrid Statistical and Machine Learning Approach for Forecasting the Global Food Price Index Based on Oil Prices. Proceedings - International Conference on Informatics and Computational Sciences (2026)
- Multi Channel Fusion Framework for Tomato Leaf Disease Classification using Modified CNN Backbones and Preprocessing Aware Input Design. Proceedings - International Conference on Informatics and Computational Sciences (2026)
- Multi-Task Transformer-Based Aspect Sentiment Analysis for Indonesian Energy and Mining Discourse. 2026 International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS) (2026)
- Public Sentiment on Mining and Energy Development in Indonesia: A Hybrid Machine Learning Perspective. Proceedings - International Conference on Informatics and Computational Sciences (2026)
- ViolenceVIT-TM: A Hybrid EfficientViT-LSTM Architecture for Video-Based Violence Detection. International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS) (2026)